Program Manager, Product Data Operations

Meta is seeking a Program Manager to lead AI solutions and product data operations programs that directly support Meta Superintelligence Lab. In this role, you will oversee end-to-end data operations programs spanning AI model training pipelines, data quality initiatives, and annotation workflows — ensuring that product teams have the high-quality data they need to build and scale AI-driven features. You will collaborate closely with researchers, engineers, product, and operations partners to define program strategies, resolve cross-functional dependencies, and translate complex data challenges into actionable, scalable solutions. Program Manager, Product Data Operations Responsibilities: Manage and deliver product data operations programs that support AI model training, evaluation, and deployment pipelines across multiple product teamsPartner with research, engineering, and product teams to define data requirements, align on quality standards, and prioritize data collection and annotation efforts for AI solutionsIdentify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasetsBreak down complex data operations challenges into manageable components, applying systematic analysis to design and implement scalable solutions aligned with AI product roadmapsDevelop and maintain program documentation including data governance frameworks, workflow specifications, risk registers, and milestone tracking for AI data initiativesEngage team leaders and cross-functional stakeholders to build alignment on program direction, surface risks proactively, and drive decisions that unblock data operations workTrack and communicate program health metrics — including data throughput, quality rates, and delivery timelines — adapting communication style and format to technical and non-technical audiencesLeverage AI tools and workflow automation to improve the efficiency and quality of data operations processes, sharing learnings to scale adoption across the teamContribute to team-level goal setting by synthesizing insights from data operations performance and translating them into actionable recommendations for AI product teamsAdapt program plans in response to shifting AI product priorities, regulatory requirements, or data availability constraints, maintaining focus on highest-impact deliverables Minimum Qualifications: 6+ years of experience in program management, data operations, or technical operations roles supporting AI, machine learning, or data-driven product developmentor 2+ years of such experience with a Bachelor's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical fieldFundamental understanding of AI/ML model development and the data requirements across the model lifecycle — including training, evaluation, and fine-tuning data needsExperience managing cross-functional programs involving data pipelines, data labeling, annotation workflows, or AI training data quality initiativesExperience in analyzing operational data and communicating findings and recommendations to technical and non-technical stakeholders at varying levels of leadershipExperience identifying process inefficiencies and implementing scalable solutions within data or AI operations environments Preferred Qualifications: Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience using AI-powered tools or workflow automation platforms to redesign and accelerate data operations processes, including demonstrated application of responsible and ethical AI practices such as bias mitigation and quality reviewExperience managing vendor or outsourced data annotation and labeling operations at scaleMaster's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical fieldExperience working directly with research or machine learning teams to define data requirements and evaluate the quality of datasets for AI model developmentFamiliarity with data governance practices, metadata management, or compliance considerations relevant to AI training data About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $132,000/year to $189,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.